bart-cnn-samsum-peft
This model is a fine-tuned version of an6308a/bart-cnn-samsum-finetuned on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 0.1364
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0946 | 1.0 | 19 | 0.1366 |
| 0.0932 | 2.0 | 38 | 0.1365 |
| 0.0951 | 3.0 | 57 | 0.1365 |
| 0.1001 | 4.0 | 76 | 0.1364 |
| 0.0886 | 5.0 | 95 | 0.1364 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.13.3
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Model tree for an6308a/bart-cnn-samsum-peft
Base model
an6308a/bart-cnn-samsum-finetuned